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SemEval-2015 Task 11: Sentiment Analysis of Figurative Language in Twitter
This report summarizes the objectives and evaluation of the SemEval 2015 task on the sentiment analysis of figurative language on Twitter (Task 11). This is the first sentiment analysis task wholly…
Metaphor as a Medium for Emotion: An Empirical Study
It is shown that metaphorical usages are, on average, significantly more emotional than literal usages and that this emotional content is not simply transferred from the source domain into the target, but rather is a result of meaning composition and interaction of the two domains in the metaphor.
Black Holes and White Rabbits: Metaphor Identification with Visual Features
This paper presents the first metaphor identification method that simultaneously draws knowledge from linguistic and visual data, as well as being competitive with the best-performing metaphor identification methods, that rely on hand-crafted knowledge about domains and perception.
Metaphor Identification Using Verb and Noun Clustering
This work presents a novel approach to automatic metaphor identification in unrestricted text that does not employ any hand-crafted knowledge, other than the initial seed set, but captures metaphoricity by means of verb and noun clustering.
A Report on the 2018 VUA Metaphor Detection Shared Task
- C. W. Leong, Beata Beigman Klebanov, Ekaterina Shutova
- Computer ScienceFig-Lang@NAACL-HLT
- 1 June 2018
The shared task on metaphor identification on the VU Amsterdam Metaphor Corpus conducted at the NAACL 2018 Workshop on Figurative Language Processing is reported on.
Statistical Metaphor Processing
This work presents the first integrated open-domain statistical model of metaphor processing in unrestricted text, which first identifies metaphorical expressions in running text and then paraphrases them with their literal paraphrasing, and operates with a high accuracy.
Grasping the Finer Point: A Supervised Similarity Network for Metaphor Detection
This paper presents the first deep learning architecture designed to capture metaphorical composition, and demonstrates that it outperforms the existing approaches in the metaphor identification task.
Semantic classifications for detection of verb metaphors
- Beata Beigman Klebanov, C. W. Leong, E. Gutiérrez, Ekaterina Shutova, Michael Flor
- 1 August 2016
This work investigates the effectiveness of semantic generalizations/classifications for capturing the regularities of the behavior of verbs in terms of their metaphoricity and experiments with various ways of defining semantic classes for verbs.
Author Profiling for Abuse Detection
- Pushkar Mishra, Marco Del Tredici, H. Yannakoudakis, Ekaterina Shutova
- Computer ScienceCOLING
- 1 August 2018
This paper proposes a novel approach to abuse detection that incorporates community-based profiling features of Twitter users and shows that its methods significantly outperform the current state of the art in abuse detection.
Automatic Metaphor Interpretation as a Paraphrasing Task
- Ekaterina Shutova
- 2 June 2010
A novel approach to metaphor interpretation and a system that produces literal paraphrases for metaphorical expressions that is directly transferable to other applications that can benefit from a metaphor processing component.